When we consider the much more realistic situation when we have a channel that introduces attenuation and noise, we can make use of the just-described receiver's linear nature to directly derive the receiver's output. The attenuation affects the output in the same way as the transmitted signal: It scales the output signal by the same amount. The white noise, on the other hand, should be filtered from the received signal before demodulation. We must thus insert a bandpass filter having bandwidth 2W 2 W and center frequency f c f c : This filter has no effect on the received signal-related component, but does remove out-of-band noise power. As shown in the triangular-shaped signal spectrum, we apply coherent receiver to this filtered signal, with the result that the demodulated output contains noise that cannot be removed: It lies in the same spectral band as the signal.

As we derive the signal-to-noise ratio in the demodulated signal, let's also calculate the signal-to-noise ratio of the bandpass filter's output r ˜ t r ˜ t . The signal component of r ˜ t r ˜ t equals α A c mtcos2π f c t α A c m t 2 f c t . This signal's Fourier transform equals

making the power spectrum,

Thus, the total signal-related power in r ˜ t r ˜ t is α2 A c 22powerm α 2 A c 2 2 power m . The noise power equals the integral of the noise power spectrum; because the power spectrum is constant over the transmission band, this integral equals the noise amplitude N 0 N 0 times the filter's bandwidth 2W 2 W . The so-called received signal-to-noise ratio — the signal-to-noise ratio after the de rigeur front-end bandpass filter and before demodulation — equals

The demodulated signal m ^ t=α A c mt2+ n out t m ^ t α A c m t 2 n out t . Clearly, the signal power equals α2 A c 2powerm4 α 2 A c 2 power m 4 . To determine the noise power, we must understand how the coherent demodulator affects the bandpass noise found in r ˜ t r ˜ t . Because we are concerned with noise, we must deal with the power spectrum since we don't have the Fourier transform available to us. Letting P ñ f P ñ f denote the power spectrum of r ˜ t r ˜ t 's noise component, the power spectrum after multiplication by the carrier has the form

The delay and advance in frequency indicated here results in two spectral noise bands falling in the low-frequency region of lowpass filter's passband. Thus, the total noise power in this filter's output equals 2· N 0 2·W·2·14= N 0 W2 · 2 N 0 2 W 2 1 4 N 0 W 2 . The signal-to-noise ratio of the receiver's output thus equals

Let's break down the components of this signal-to-noise ratio to better appreciate how the channel and the transmitter parameters affect communications performance. Better performance, as measured by the SNR, occurs as it increases.

In summary, amplitude modulation provides an effective means for sending a bandlimited signal from one place to another. For wireline channels, using baseband or amplitude modulation makes little difference in terms of signal-to-noise ratio. For wireless channels, amplitude modulation is the only alternative. The one AM parameter that does not affect signal-to-noise ratio is the carrier frequency f c f c : We can choose any value we want so long as the transmitter and receiver use the same value. However, suppose someone else wants to use AM and chooses the same carrier frequency. The two resulting transmissions will add, and both receivers will produce the sum of the two signals. What we clearly need to do is talk to the other party, and agree to use separate carrier frequencies. As more and more users wish to use radio, we need a forum for agreeing on carrier frequencies and on signal bandwidth. On earth, this forum is the government. In the United States, the Federal Communications Commission (FCC) strictly controls the use of the electromagnetic spectrum for communications. Separate frequency bands are allocated for commercial AM, FM, cellular telephone (the analog version of which is AM), short wave (also AM), and satellite communications.

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This work is licensed by Don Johnson under a Creative Commons Attribution License (CC-BY 1.0), and is an Open Educational Resource.

Last edited by Don Johnson on Nov 10, 2008 12:37 pm US/Central.